Data Analyst Power Bi

SHANMUKA RANA PRATHAP CHOWDARY PONNAGANTI

DATA ANALYST Location: FL Mobile: 813-***-**** Email: ****************@*****.*** SUMMARY:

Data Analyst with 3 years of experience in data analysis, reporting, and generating insights. Skilled in SDLC, Agile, and Waterfall methodologies for efficient project delivery. Proficient in Python (NumPy, Pandas, PyTorch, Scikit-learn, Matplotlib, SciPy, Seaborn, TensorFlow), SQL, and R for data manipulation, predictive modeling, and machine learning. Expertise in Power BI, Tableau, and Excel for data visualization and analytics. Strong background in creating FRD, BRD, and SRS documentation. Adept in conducting cost/benefit, GAP, risk, and SWOT analyses to optimize processes and identify opportunities. SKILLS:

Methodology: SDLC, Agile, Waterfall, Kanban, Burndown chart Programming Languages: Python, SQL, R

Libraries: (NumPy, Pandas, PyTorch, Scikit-learn, Matplotlib, SciPy (Seaborn, TensorFlow), Documentation: FRD, BRD, SRS

Data Analytics & Visualization Tools: Power BI, Tableau, QlikView, Excel, MS Office Suite (Word, Excel, PowerPoint, Access) Analysis Skills: Cost/benefit analysis, Impact analysis, GAP analysis, Risk analysis, SWOT analysis Data Warehousing & Database Management: SQL Server, Data Warehousing, ETL (Extract, Transform, Load) Data Extraction, Data Conversion, Data Mining, Data Modelling Tracking/Other Skills: Jira, Microsoft Visio, HP Quality Center, JAD, Rational ClearQuest, RTM, UAT, Confluence, Asana, Trello, Figma, Microsoft Access, CRM, Lucid chart, UML, ERD, Salesforce CRM, Smartsheet, SQL Financial & Business Tools: Financial Reporting, Budgeting and Forecasting, MS Project, SharePoint Soft Skills: Leadership, Problem-solving, Documentation and Presentation, Verbal communication Operating System: Windows, Linux

EDUCATION:

Master of Science in Business Analytics and Information Systems Aug 2022 – May 2024 University of South Florida Tampa, FL

Bachelor of Electronics and Communication Engineering July 2018 – May 2022 Lovely Professional University, Punjab

EXPERIENCE:

[Cardinal Health, FL Aug 2023 – Current Data Analyst

• Collaborate with cross-functional teams using Agile and SDLC methodologies to ensure project alignment with business objectives and drive data-driven decisions.

• Perform data analysis using Python (NumPy, Pandas, Scikit-learn) and SQL, improving operational efficiency by 15% through streamlined data handling and process optimization.

• Design and manage Power BI and Tableau dashboards, providing actionable insights that contributed to a 10% increase in sales by translating complex datasets into clear visual representations.

• Conduct advanced data analysis on customer behavior using SQL, optimizing marketing strategies and improving customer retention by 15%.

• Build interactive Tableau dashboards that accelerate decision-making for executives, improving report delivery by 20% and enabling faster business adjustments.

• Lead ETL processes for data extraction, transformation, and loading, reducing data processing time by 30% and enhancing data flow across the organization.

• Improve financial reporting data accuracy by 25% through the application of data mining and data conversion techniques, providing clearer and more reliable insights for business operations.

• Use Jira and Confluence for project tracking and collaboration, improving project delivery speed by 20% through efficient task management and real-time communication.

Orion Technolab, India Mar 2020 - July 2022 Business Analyst

• Managed project timelines and deliverables using Waterfall methodologies, achieving 95% on-time completion rates.

• Gathered and documented business requirements (FRD, BRD, SRS) for software development projects, improving alignment with business objectives by 25%.

• Streamlined workflow with Kanban and monitored progress through burndown charts, achieving a 20% reduction in completion times.

• Conducted cost/benefit analysis and risk assessments, resulting in a 15% reduction in overall project costs.

• Developed and implemented data models using SQL and R, leading to an 18% increase in forecasting accuracy and profitability.

• Automated key business processes, reducing manual efforts by 20 hours per week and increasing operational efficiency.

• Created interactive data visualizations using Tableau and QlikView, improving management reporting efficiency by 30%.

• Led financial reporting, budgeting, and forecasting processes, identifying cost-saving opportunities that enhanced budget accuracy by 10%.

• Managed communications with stakeholders, utilizing Jira, Trello, and Visio to ensure clear updates and improve client satisfaction by 15%.

• Contributed to sprint reviews by gathering feedback from stakeholders, resulting in a 20% increase in product feature acceptance and reducing post-sprint revisions by 15%.

• Facilitated user acceptance testing (UAT) and developed requirement traceability matrices (RTM), resulting in a 98% user acceptance rate for project implementations.

• Enhanced team communication and sprint planning by actively participating in scrum ceremonies and assisting in task estimations, resulting in a 15% improvement in collaboration and a 10% increase in on-time task completion.

Contact this candidate